مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

58
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Evaluation of Land Surface Temperature and Snow Cover Ratio by Using Remote Sensing Data (Case Study: Kasilian Watershed)

Pages

  1-16

Abstract

 Land Surface Temperature (LST) affects snowpack spatiotemporal changes as one of the crucial components of water balance. Despite the ease of access to Remote Sensing (RS) data, such as Moderate Resolution Imaging Spectroradiometer (MODIS), products that are used for monitoring and evaluating LST effect on snow cover area SCA are sometimes not available for some reason. In order to overcome such a limitation, the monthly average values of SCA and LST in each 8 days for 13 years (2003-2016) were evaluated by regression relations. The results showed, minimum and maximum values of annual mean of snow covered area percent that occurred in 20009 and 2011 as being equal to 5. 86%, 20. 32, respectively. In addition, the annual mean of minimum and maximum values of LST related to 2004 and 2010 were 17. 65 and 21. 1 0C, respectively. The pattern of two variables changes illustrated that the SCA changes to LST are reverse and gradually increasing during the study period. Also, the results revealed that in power regression, the Nash-Sutcliff Efficiency (NSE) coefficient for SCA percent simulation, , RMSE and Bias, are 0. 6, 0. 64, 9. 88 and-2. 14, respectively. These coefficients are 0. 16%, 47%, 14. 37% and 86. 32% in linear regression method, respectively. Thus, this study may be helpful to estimate SCA and reconstruct missing data in satellite images.

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    Mahmoudi, Hamed, pajouhesh, mehdi, Abdollahi, Khodayar, & HONARBAKHSH, AFSHIN. (2021). Evaluation of Land Surface Temperature and Snow Cover Ratio by Using Remote Sensing Data (Case Study: Kasilian Watershed). IRANIAN JOURNAL OF ECOHYDROLOGY, 8(1 ), 1-16. SID. https://sid.ir/paper/1058846/en

    Vancouver: Copy

    Mahmoudi Hamed, pajouhesh mehdi, Abdollahi Khodayar, HONARBAKHSH AFSHIN. Evaluation of Land Surface Temperature and Snow Cover Ratio by Using Remote Sensing Data (Case Study: Kasilian Watershed). IRANIAN JOURNAL OF ECOHYDROLOGY[Internet]. 2021;8(1 ):1-16. Available from: https://sid.ir/paper/1058846/en

    IEEE: Copy

    Hamed Mahmoudi, mehdi pajouhesh, Khodayar Abdollahi, and AFSHIN HONARBAKHSH, “Evaluation of Land Surface Temperature and Snow Cover Ratio by Using Remote Sensing Data (Case Study: Kasilian Watershed),” IRANIAN JOURNAL OF ECOHYDROLOGY, vol. 8, no. 1 , pp. 1–16, 2021, [Online]. Available: https://sid.ir/paper/1058846/en

    Related Journal Papers

  • No record.

    • Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops






    Move to top
    telegram sharing button
    whatsapp sharing button
    linkedin sharing button
    twitter sharing button
    email sharing button
    email sharing button
    email sharing button
    sharethis sharing button